EU labour market behaviour during the Great Recession

This paper provides an analysis of the labour market adjustment to the 2008-2009 recession in terms of employment, unemployment, hours worked and wages. It highlights differences in the response of employment and unemployment across countries and different socioeconomic groups. For all EU Member States, it provides evidence of the developments during the crisis of the monthly job finding and separation rates. This helps to assess whether the increase in unemployment is due to an increase of job separation or to a decline in the job finding rate. The paper discusses the risks of jobless growth and compares the dynamics of unemployment and employment across different periods. It provides evidence of an asymmetric response over the cycle, with recessions being characterised by more job destruction than by job creation in the following recoveries. The analysis of the wage dynamics during the recession suggests that there has been an adjustment in the compensation per employee led by the variable component; yet, this has not been sufficient to avoid the increase in the nominal unit labour costs due to labour hoarding.Unemployment, Workers' flows, job separation, job finding rate, Okun's law,

EU labour market behaviour during the Great Recession

This paper provides an analysis of the labour market adjustment to the 2008-2009 recession. It highlights differences in the response of employment and unemployment across countries and different socioeconomic groups. For all EU Member States, it provides evidence of the developments during the crisis of the monthly job finding and separation rates. This helps to assess whether the increase in unemployment is due to an increase of job separation or to a decline in the job finding rate. The paper discusses the risks of jobless growth and compares the dynamics of unemployment and employment across different periods. It provides evidence of an asymmetric response over the cycle, with recessions being characterised by more job destruction than by job creation in the following recoveries. The analysis of the wage dynamics suggests that there has been an adjustment in the compensation per employee led by the variable component; yet, this has not been sufficient to avoid the increase in the nominal unit labour costs due to labour hoarding.european union eu recession labour markets unemeployment Workers' flows job separation job finding rate Okun's law arpaia curci

EU labour market behaviour during the Great Recession

This paper provides an analysis of the labour market adjustment to the 2008-2009 recession in terms of employment, unemployment, hours worked and wages. It highlights differences in the response of employment and unemployment across countries and different socioeconomic groups. For all EU Member States, it provides evidence of the developments during the crisis of the monthly job finding and separation rates. This helps to assess whether the increase in unemployment is due to an increase of job separation or to a decline in the job finding rate. The paper discusses the risks of jobless growth and compares the dynamics of unemployment and employment across different periods. It provides evidence of an asymmetric response over the cycle, with recessions being characterised by more job destruction than by job creation in the following recoveries. The analysis of the wage dynamics during the recession suggests that there has been an adjustment in the compensation per employee led by the variable component; yet, this has not been sufficient to avoid the increase in the nominal unit labour costs due to labour hoarding.Unemployment, Workers’ flows, job separation, job finding rate, Okun’s law

Noninvasive measurement of transdermal drug delivery by impedance spectroscopy

The effectiveness in transdermal delivery of skin permeation strategies (e.g., chemical enhancers, vesicular carrier systems, sonophoresis, iontophoresis, and electroporation) is poorly investigated outside of laboratory. In therapeutic application, the lack of recognized techniques for measuring the actually-released drug affects the scientific concept itself of dosage for topically- and transdermally-delivered drugs. Here we prove the suitability of impedance measurement for assessing the amount of drug penetrated into the skin after transdermal delivery. In particular, the measured amount of drug depends linearly on the impedance magnitude variation normalized to the pre-treated value. Three experimental campaigns, based on the electrical analysis of the biological tissue behavior due to the drug delivery, are reported: (i) laboratory emulation on eggplants, (ii) ex-vivo tests on pig ears, and finally (iii) in-vivo tests on human volunteers. Results point out that the amount of delivered drug can be assessed by reasonable metrological performance through a unique measurement of the impedance magnitude at one single frequency. In particular, in-vivo results point out sensitivity of 23 ml(-1), repeatability of 0.3%, non-linearity of 3.3%, and accuracy of 5.7%. Finally, the measurement resolution of 0.20 ml is compatible with clinical administration standards

A Wearable SSVEP BCI for AR-based, Real-time Monitoring Applications

A real-time monitoring system based on Augmented Reality (AR) and highly wearable Brain-Computer Interface (BCI) for hands-free visualization of patient's health in Operating Room (OR) is proposed. The system is designed to allow the anesthetist to monitor hands-free and in real-time the patient's vital signs collected from the electromedical equipment available in OR. After the analysis of the requirements in a typical Health 4.0 scenario, the conceptual design, implementation and experimental validation of the proposed system are described in detail. The effectiveness of the proposed AR-BCI-based real-time monitoring system was demonstrated through an experimental activity was carried out at the University Hospital Federico II (Naples, Italy), using operating room equipment

EU labour market behaviour during the Great Recession

This paper provides an analysis of the labour market adjustment to the 2008-2009 recession in terms of employment, unemployment, hours worked and wages. It highlights differences in the response of employment and unemployment across countries and different socioeconomic groups. For all EU Member States, it provides evidence of the developments during the crisis of the monthly job finding and separation rates. This helps to assess whether the increase in unemployment is due to an increase of job separation or to a decline in the job finding rate. The paper discusses the risks of jobless growth and compares the dynamics of unemployment and employment across different periods. It provides evidence of an asymmetric response over the cycle, with recessions being characterised by more job destruction than by job creation in the following recoveries. The analysis of the wage dynamics during the recession suggests that there has been an adjustment in the compensation per employee led by the variable component; yet, this has not been sufficient to avoid the increase in the nominal unit labour costs due to labour hoarding

Active and Passive Brain-Computer Interfaces Integrated with Extended Reality for Applications in Health 4.0

This paper presents the integration of extended reality (XR) with brain-computer interfaces (BCI) to open up new possibilities in the health 4.0 framework. Such integrated systems are here investigated with respect to an active and a passive BCI paradigm. Regarding the active BCI, the XR part consists of providing visual and vibrotactile feedbacks to help the user during motor imagery tasks. Therefore, XR aims to enhance the neurofeedback by enhancing the user engagement. Meanwhile, in the passive BCI, user engagement monitoring allows the adaptivity of a XR-based rehabilitation game for children. Preliminary results suggest that the XR neurofeedback helps the BCI users to carry on motor imagery tasks with up to 84% classification accuracy, and that the level of emotional and cognitive engagement can be detected with an accuracy greater than 75%

A Wearable AR-based BCI for Robot Control in ADHD Treatment: Preliminary Evaluation of Adherence to Therapy

A wearable, single-channel Brain-Computer Interface (BCI) based on Augmented Reality (AR) and Steady-State Visually Evoked Potentials (SSVEPs) for robot control is proposed as an innovative therapy for robot-based Attention Deficit Hyperactivity Disorder (ADHD) rehabilitation of children. The system manages to overcome the challenges regarding immersivity and wearability, providing a direct path between human brain and social robots, already successfully employed for ADHD treatment. Through the proposed system, even without training, the user can drive a robot, in real-time, by brain signals. A preliminary evaluation of the children adherence to the therapy was conducted as a case study on 18 subjects, at an accredited rehabilitation center. After investigating the children acceptance of the proposed system, different tasks were assigned to the volunteers aiming to observe their level of involvement. The experimental activity showed encouraging results, where almost all the participants were satisfied with the experience and keen to repeat it again in the future

Evaluation of the Effectiveness of a Wearable, {AR}-based {BCI} for Robot Control in {ADHD} Treatment

A highly wearable, single-channel Brain-Computer Interface based on Augmented Reality and Steady-State Visually Evoked Potentials is proposed as a therapy for Attention Deficit Hyperactivity Disorder (ADHD) rehabilitation of children. Through the proposed system, the user can drive a social robot, in real-time, by simply looking at the flickering icons rendered on the Augmented Reality (AR) smart glasses. The social robot is already successfully employed for ADHD treatment. After a preliminary evaluation of the children adherence to the therapy (involving 18 subjects), a one-month therapy was conducted on 7 participants. During the tests, different tasks were assigned to the children depending on their level of involvement. The obtained results, based on the Italian Battery for ADHD, highlight that for all the participants, an improvement in the various tests proposed could be observed, even with a low number of sessions

EEG-based measurement system for monitoring student engagement in learning 4.0

A wearable system for the personalized EEG-based detection of engagement in learning 4.0 is proposed. In particular, the effectiveness of the proposed solution is assessed by means of the classification accuracy in predicting engagement. The system can be used to make an automated teaching platform adaptable to the user, by managing eventual drops in the cognitive and emotional engagement. The effectiveness of the learning process mainly depends on the engagement level of the learner. In case of distraction, lack of interest or superficial participation, the teaching strategy could be personalized by an automatic modulation of contents and communication strategies. The system is validated by an experimental case study on twenty-one students. The experimental task was to learn how a specific human-machine interface works. Both the cognitive and motor skills of participants were involved. De facto standard stimuli, namely (1) cognitive task (Continuous Performance Test), (2) music background (Music Emotion Recognition-MER database), and (3) social feedback (Hermans and De Houwer database), were employed to guarantee a metrologically founded reference. In within-subject approach, the proposed signal processing pipeline (Filter bank, Common Spatial Pattern, and Support Vector Machine), reaches almost 77% average accuracy, in detecting both cognitive and emotional engagement